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Abstrak :
Pricing strategy is influenced by how the consumers perceived the price change. In an oligopolistic market such as cellular industry, posted price shows the firm's commitment to the consumers as well as to the competitors since a firm's decision will affect (he other firms' decision. This thesis discuss about Indosat 's pricing strategy amidst the intense competition of cellular industry in 2003. This research found that subscribers' acquisition pattern is influenced by the price change. Although the elasticity for one month inelastic, the seven-month elasticity shows that the own price elasticity is elastic On the other hand, the volume of transactions measured by the Minute of Usage shows an inelastic demand These results show a trade-off indosat faced when making a decision to lower its price, The sensitivity analysis shows that the revenue Indosat get from the new subscriber is higher than the potential revenue loss.

Abstrak :
ABSTRAK
Dewasa ini, kota sebagai pusat penggerak kegiatan ekonomi mengalami percepatan perubahan aspek fisik dan sosial wilayah. Salah satu wilayah administrasi perkotaan di Indonesia yang mengalami perkembangan pesat tersebut adalah Kota Palembang. Tingginya aktivitas perdagangan, jasa, dan agenda olahraga di Kota Palembang mendorong pemerintah setempat untuk mengembangkan pembangunan pusat kota baru Jakabaring dan Komplek Olahraga Jakabaring untuk mengakomodir kegiatan tersebut. Pembangunan ini kemudian menyebabkan dinamika pemanfaatan tanah di wilayah sekitarnya, salah satunya adalah harga tanah. Penelitian ini mencoba menganalisis pola perubahan harga tanah beserta pengaruh faktor yang mempengaruhinya yaitu aksesibilitas dan pemanfaatan tanah sebagai aspek lokasi serta status hak atas tanah sebagai aspek legal dari tanah. Metode yang digunakan diantaranya melalui pengumpulan data sekunder, wawancara, dan validasi langsung di lapangan. Analisis dilakukan dengan melakukan penampalan overlay peta perubahan harga tanah dengan faktor-faktor penentu harga tanah serta dijelaskan berdasarkan pembagian zona serta menggunakan statistik deskriptif. Hasil menunjukkan bahwa keberadaan Komplek Olahraga Jakabaring memicu perubahan harga tanah yang tinggi pada zona-zona di sekitarnya. Selain itu faktor lainnya seperti perubahan konektivitas jaringan jalan, persentase perluasan lahan terbangun, dan cakupan bidang tanah bersertifikat secara keseluruhan juga cenderung memiliki pengaruh terhadap perubahan harga tanah yang terjadi pada wilayah penelitian.

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ABSTRACT
Nowadays, the city as the center of driving economic activity has accelerated changes in physical and social aspects of the region. One of the areas of urban administration in Indonesia that experienced rapid development is Palembang City. The high level of trading activities, services, and sport events in Palembang City pushed the local government to develop the development of the new city center and the Jakabaring Sports Complex to accommodate these activities. This development then causes the dynamics of land use in the surrounding area, one of which is the land price. This study tries to analyze the pattern of land price change and the factors that influence these changes such as accessibility and land use as the location aspect and also the status of land rights as legal aspect of the land. The methods used are through secondary data collection, interviews, and validation directly in the field. The analysis is done by overlaying the map of land price changes with land price determinant factors then explained by zone division and using descriptive statistics. The results show that the existence of the Jakabaring Sports Complex triggers a high change in land prices in the surrounding zones. In addition, other factors such as changes in road network connectivity, the percentage of land expansion built, and the coverage of certified land plots is also have an impact on changes in land prices that occur in the research area.

Abstrak :
[ABSTRAK
Indonesia merupakan salah satu produsen terbesar komoditas kakao biji di dunia. Hal ini menandakan bahwa kakao biji merupakan salah satu komoditas terpenting bagi Indonesia. Karenanya, pemerintah perlu menjaga stabilitas produksi dari komoditas terserbut. Selanjutnya, peran penting dari komoditas kakao biji ditandai dengan besarnya share ekspor dari komoditas tersebut terhadap total ekspor sektor pertanian Indonesia dan juga peran penting dari komoditas kakao biji terhadap mata pencaharian utama petani kecil di pedesaan.

Penelitian ini bertujuan untuk menguji determinan dari produksi komoditas kakao biji Indonesia. Secara lebih khusus, penelitian ini mendiskusikan bagaimana faktor-faktor agronomis, karakteristik petani, dan proses rantai nilai dapat mempengaruhi produksi kakao biji di Indonesia yang dijelaskan melalui metode kualitatif. Selain itu, penilitian ini juga menguji bagaimana pengaruh dari harga produsen dan perubahannya, harga dunia, curah hujan, dan inflasi terhadap produksi komoditas kakao biji Indonesia dengan menggunakan model random effect.

Hasil penelitian ini menunjukkan bahwa faktor-faktor agronomis dapat mempengaruhi produksi kakao biji melalui tingkat curah hujan dan tingkat kelembaban yang memngaruhi pohon kakao. Selanjutnya, karakteristik petani, seperti motif untuk memenuhi kebutuhan sehar-hari, dapat memengaruhi keputusan petani dalam membudidayakan komoditas kakao biji. Proses rantai nilai menjelaskan bahwa harga produsen secara langsung mempengaruhi kapasitas produksi domestic, sedangkan harga internasional secara tidak langsung mempengaruhi kapasitas produksi. Sementara itu, model random effect menunjukkan bahwa harga produsen, perubahan harga produsen, harga dunia, dan inflasi secara signifikan memberikan pengaruh terhadap produksi kakao biji domestik.

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ABSTRACT
Currently, Indonesia has become one of the major producers of cocoa bean in the world. Then, it makes cocoa bean as one of the important commodities for Indonesia. Since the crop has become one of the important commodities for Indonesian economy, the government needs to maintain the stability of cocoa bean production. The important role of cocoa bean can be shown by the share of cocoa bean export on Indonesian agricultural export and the livelihood of smallholder farmers.

This research aims to examine the determinants of Indonesian cocoa bean production. Particularly, this research discusses how the agronomics factors, farmers? characteristics, and value chain process can affect the cocoa bean production in Indonesia. Qualitative analysis is used to discuss these factors. Furthermore, this research also examines the affect of producer price, change in producer price, world price, rainfall, and inflation on the cocoa bean production. Random effect model is used to examine the affect of those variables.

The result reveals that agronomics factors can affect the production through the impact of rainfall and humidity on cocoa tree. The farmers? characteristics, i.e. the motive to survive can affect the decision of farmers in cultivating cocoa bean. The value chain process can explain that producer price of cocoa bean can directly affect the domestic production, whereas the world price indirectly affects the domestic production. Meanwhile, the random effect model reveals that change in price of cocoa bean, producer price of cocoa bean, the world price, and inflation significantly affect the domestic production.;Currently, Indonesia has become one of the major producers of cocoa bean in the world. Then, it makes cocoa bean as one of the important commodities for Indonesia. Since the crop has become one of the important commodities for Indonesian economy, the government needs to maintain the stability of cocoa bean production. The important role of cocoa bean can be shown by the share of cocoa bean export on Indonesian agricultural export and the livelihood of smallholder farmers. This research aims to examine the determinants of Indonesian cocoa bean production. Particularly, this research discusses how the agronomics factors, farmers’ characteristics, and value chain process can affect the cocoa bean production in Indonesia. Qualitative analysis is used to discuss these factors. Furthermore, this research also examines the affect of producer price, change in producer price, world price, rainfall, and inflation on the cocoa bean production. Random effect model is used to examine the affect of those variables. The result reveals that agronomics factors can affect the production through the impact of rainfall and humidity on cocoa tree. The farmers’ characteristics, i.e. the motive to survive can affect the decision of farmers in cultivating cocoa bean. The value chain process can explain that producer price of cocoa bean can directly affect the domestic production, whereas the world price indirectly affects the domestic production. Meanwhile, the random effect model reveals that change in price of cocoa bean, producer price of cocoa bean, the world price, and inflation significantly affect the domestic production., Currently, Indonesia has become one of the major producers of cocoa bean in the world. Then, it makes cocoa bean as one of the important commodities for Indonesia. Since the crop has become one of the important commodities for Indonesian economy, the government needs to maintain the stability of cocoa bean production. The important role of cocoa bean can be shown by the share of cocoa bean export on Indonesian agricultural export and the livelihood of smallholder farmers. This research aims to examine the determinants of Indonesian cocoa bean production. Particularly, this research discusses how the agronomics factors, farmers’ characteristics, and value chain process can affect the cocoa bean production in Indonesia. Qualitative analysis is used to discuss these factors. Furthermore, this research also examines the affect of producer price, change in producer price, world price, rainfall, and inflation on the cocoa bean production. Random effect model is used to examine the affect of those variables. The result reveals that agronomics factors can affect the production through the impact of rainfall and humidity on cocoa tree. The farmers’ characteristics, i.e. the motive to survive can affect the decision of farmers in cultivating cocoa bean. The value chain process can explain that producer price of cocoa bean can directly affect the domestic production, whereas the world price indirectly affects the domestic production. Meanwhile, the random effect model reveals that change in price of cocoa bean, producer price of cocoa bean, the world price, and inflation significantly affect the domestic production.]

Abstrak :
Dalam disertasi ini telah dilakukan penelitian tentang keterlibatan volume pada harga penutupan dihari transaksi. Hal ini dilakukan dalam upaya untuk mendapatkan indikator harga saham yang lebih baik. Hukum distribusi dan probabilitas statistik Maxwel-Boltzmann digunakan untuk menganalisis harga saham beserta perubahan persentasi harga pada pasar modal Bursa Efek Indonesia. Besaran volume dan harga digunakan sebagai variabelvariabelnya. Banyak trader tidak menghiraukan akan nilai besaran volume ini, namun sebenarnya disanalah banyak terkandung sejumlah informasi penting. Oleh karena analisis ini dapat digunakan untuk memprediksi harga dinamik saham di Bursa Efek Indonesia, baik dalam keadaan harga saham bulish atau bearish, naik maupun turun, juga persentasi perubahan harganya, maka diperoleh 1. Bahwa perbandingan antara indikator Statistik MaxwellBoltzmann terhadap indikator Stokastik Osilator George Lane dan lain-lainnya, diperoleh Maxwell-Boltzmann 69 benar, Stockastic Ocscillator 40.55 benar, 10 Simple dan 10 Exponential Moving Average 10 SMA- 10 EMA 43.55 yang benar, Relative Strengt Indexs RSI 46,67 , R William 45 benar, MACD 40,33 dan OBV 41,44 . 2. Pada sisi lain, dengan menggunakan rumus probabilitas Maxwell-Boltzmann, untuk memperkirakan perubahan harga, diperoleh minimum perubahan harga 0 to 3.59 persen deviasi minimum , and deviasi maksimumnya berada diantara 0 to 4,67 persen.

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In this disertaion, we rsquo;ve investigated the involvement of closing volumes on closing prices as additional variables in order to achieve the better trend lines indicator. The MaxwellBoltzmann distribution physical statistic law and its probabilistic formula were utilized to analyze the dynamic trend lines and deviation percentage of price changes, where prices and volumes were used as variables indeed. Many traders ignore volumes; however, there is a huge number of information in it, particularly in volume of closing prices. This Maxwell-Boltzmann distribution law could be manipulated to predict shares dynamic trend lines in Indonesian Stock Exchange Idx market. Since these analysis could be utilized to predict the dynamic trend lines on bullish or bearish market, and percentage of price changes, than; 1. We are going to have the comparison of the dynamic trend line changes uptrend or down trend by utilizing MaxwellBoltzmann distribution law, and compare them to the George Lane stochastic oscillator formula. The result of the comparison percentage was Maxwell-Boltzmann for 69 right, Stochastic Oscillator 40.55 , 10 Simple and 10 Exponential Moving Average 10 SMA- 10 EMA for 43.55 , Relative Strength Index rsquo;s RSI 46,67 , R William for 45 right, MACD 40.33 right and OBV 41.44 2. On the other hand, the development of the MB probability formula, in term for predicting percentage of price changes, data rsquo;s given that minimum price changes around 0 to 3.59 percent minimum deviation , and maximum deviation around 0 to 4,67 percent in Indonesian Stock Exchanges Idx market.