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SURVEI POTENSI KEPURBAKALAAN GUA – GUA DI KECAMATAN WIWIRANO, KABUPATEN KONAWE UTARA MELALUI PENDEKATAN SISTEM INFORMASI GEOGRAFIS (SIG) sandy suseno; Adha Mashur Sajiah; Ahmad Firman Tarta; Danial Danial; Wahab Wahab
SANGIA JOURNAL OF ARCHAEOLOGY RESEARCH Vol. 3 No. 2: December 2019
Publisher : Laboratorium Jurusan Arkeologi Fakultas Ilmu Budaya Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/sangia.v3i2.734

Abstract

This study aims to determine the distribution of caves / niches that are potentially archaeological in the District of Wiwirano, North Konawe as well as identifying archaeological remains found at these sites. Next, the locational cave / niche aspect is examined with a Geographic Information System (GIS) approach. Through the GIS approach, the data summarized will be visualized in the form of a thematic map containing the distribution of caves / niches in the District of Wiwirano, North Konawe including archaeological information contained in these caves / niches.Data collection was carried out by direct observation in the Wiwirano District area, North Konawe. At the time of the observation, the astronomical coordinates of the cave / niche were recorded and also the archaeological remains at that location were recorded. The next step, classifying the collected data is followed by digitizing the data for mapping through the GIS approach. The expected results of this study are to become the main reference about the distribution of caves / niches in the District of Wiwirano, North Konawe. In addition, the results of this study can reveal the potential of archaeological remains in the region. This is in accordance with UHO's strategic objectives namely the provision of quality, relevant and competitive education services as well as the achievement of improved quality of research and service that has competitiveness, and community development rural-oriented. This research is also in line with UHO's strategic goal of producing a database that can be a reference for UHO archeology students in conducting their final project research.
SURVEI POTENSI KEPURBAKALAAN GUA – GUA DI KECAMATAN WIWIRANO, KABUPATEN KONAWE UTARA MELALUI PENDEKATAN SISTEM INFORMASI GEOGRAFIS (SIG) sandy suseno; Adha Mashur Sajiah; Ahmad Firman Tarta; Danial Danial; Wahab Wahab
SANGIA: Jurnal Penelitian Arkeologi Vol 3 No 2: SANGIA, JURNAL PENELITIAN ARKEOLOGI, VOLUME.3, NUMBER.2, 2019
Publisher : Laboratorium Jurusan Arkeologi Fakultas Ilmu Budaya Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/sangia.v3i2.734

Abstract

This study aims to determine the distribution of caves / niches that are potentially archaeological in the District of Wiwirano, North Konawe as well as identifying archaeological remains found at these sites. Next, the locational cave / niche aspect is examined with a Geographic Information System (GIS) approach. Through the GIS approach, the data summarized will be visualized in the form of a thematic map containing the distribution of caves / niches in the District of Wiwirano, North Konawe including archaeological information contained in these caves / niches.Data collection was carried out by direct observation in the Wiwirano District area, North Konawe. At the time of the observation, the astronomical coordinates of the cave / niche were recorded and also the archaeological remains at that location were recorded. The next step, classifying the collected data is followed by digitizing the data for mapping through the GIS approach. The expected results of this study are to become the main reference about the distribution of caves / niches in the District of Wiwirano, North Konawe. In addition, the results of this study can reveal the potential of archaeological remains in the region. This is in accordance with UHO's strategic objectives namely the provision of quality, relevant and competitive education services as well as the achievement of improved quality of research and service that has competitiveness, and community development rural-oriented. This research is also in line with UHO's strategic goal of producing a database that can be a reference for UHO archeology students in conducting their final project research.
Sistem Pakar Diagnosis Penyakit Ternak Sapi Berbasis Website Menggunakan Forward Chaining dengan Integrasi Fuzzy Logic pada Dinas Peternakan Kabupaten Muna Suci Wulandari; Bambang Pramono; Adha Mashur Sajiah; Isnawaty .
Jurnal Sains dan Teknologi (JSIT) Vol. 6 No. 2 (2026): Mei - Agustus
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cattle are livestock with high economic value for the people of Muna Regency, serving not only as a source of food but also as productive assets that contribute significantly to the regional economy. However, diagnosing diseases in cattle remains a major challenge because many diseases exhibit similar and non-specific symptoms, making early identification difficult. This condition often results in delayed treatment, reduced livestock productivity, and economic losses for farmers. This study aims to develop an expert system that can assist farmers and animal health officers in diagnosing cattle diseases accurately and efficiently by integrating the Forward Chaining and Fuzzy Logic methods to improve the reliability of the diagnostic process under uncertain symptom conditions. The research employed a system development approach consisting of literature review, knowledge acquisition, system design, implementation, and testing. The system integrates the Forward Chaining method for rule-based reasoning and Fuzzy Logic to manage uncertainty in symptom values. The analysis techniques used include Black Box Testing to evaluate system functionality and accuracy testing by comparing the system's diagnostic results with expert diagnoses. The results show that the developed expert system functions properly according to its design specifications and produces consistent and reliable diagnostic results. The combination of Forward Chaining and Fuzzy Logic improves diagnostic accuracy by effectively handling uncertain symptom data, making the system a useful decision-support tool for early detection and management of cattle diseases in Muna Regency.