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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Psikologika : Jurnal Pemikiran dan Penelitian Psikologi dCartesian: Jurnal Matematika dan Aplikasi Reaktor JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT Jurnal Sains dan Teknologi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmiah Kursor Jurnal Produksi Tanaman Noetic Psychology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Psikodimensia: Kajian Ilmiah Psikologi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sains Matematika dan Statistika Proceeding of the Electrical Engineering Computer Science and Informatics MNJ (Malang Neurology Journal) Al-Jabar : Jurnal Pendidikan Matematika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Inquiry: Jurnal Ilmiah Psikologi Resona : Jurnal Ilmiah Pengabdian Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) JOURNAL SPORT AREA Philanthropy: Journal of Psychology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Evangelikal: Jurnal Teologi Injili dan Pembinaan Warga Jemaat Aptisi Transactions on Technopreneurship (ATT) Insight: Jurnal Ilmiah Psikologi Jurnal Abdi Insani Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Computer Science and Information Technologies Jurnal Sains dan Edukasi Sains SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Indonesian Journal of Applied Research (IJAR) Journal of Science and Science Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Information System Journal (INFOS) Lingue : Jurnal Bahasa, Budaya, dan Sastra Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran International Journal of Engineering, Science and Information Technology Jurnal Hurriah: Jurnal Evaluasi Pendidikan dan Penelitian Dinamis Tri Dharma Mandiri: Diseminasi dan Hilirisasi Riset Kepada Masyarakat (Jurnal Pengabdian Kepada Masyarakat) Eksergi: Jurnal Teknik Energi Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya INJURITY: Journal of Interdisciplinary Studies ENDLESS : International Journal of Future Studies d'Cartesian: Jurnal Matematika dan Aplikasi Tesseract: International Journal of Geometry and Applied Mathematics Journal of Mechanical Engineering and Fabrication JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Study of Scientific and Behavioral Management (SSBM)
Adi Setiawan
Universitas Kristen Satya Wacana
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Implementasi Metode Association Rule untuk Menganalisis Data Twitter tentang Badan Penyelenggara Jaminan Sosial dengan Algoritma Frequent Pattern-Growth Tamaela, Jemaictry; Sediyono, Eko; Setiawan, Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.588 KB) | DOI: 10.21456/vol8iss1pp25-33

Abstract

BPJS services cannot be separated from criticism and complaints of the people in Indonesia. Twitter is one of the social media choose to share experiences related to things about BPJS. The information that is shared can be processed to gain new knowledge (knowledge discovery), which is related to public opinion about BPJS. Tweets collected from the national BJPS twitter are divided into words, then, specified words can be used as items to form the itemset. The association rule technique with the FP-Growth algorithm that is implemented in the application can process text data from Twitter to form the item set. Each item set contains a collection of tweets that are responses and the opinion of the community about an event or phenomenon related to BPJS services. The tree structure of FP-Growth simplifies the process of the validation because it can track and display the frequency of occurrence of each word and itemset, before and after branch pruning which is not included in the support value. The OSM API integration with the application in this study provides visual information about where the tweet comes from, so it can be used to generate itemset from a collection of tweets from a particular region.
PERANCANGAN SISTEM INFORMASI MANAJEMEN RANTAI PASOK (SUPPLY CHAIN MANAGEMENT) UNTUK DISTRIBUSI PANGAN KABUPATEN MINAHASA TENGGARA Ama, Aldian Umbu Tamu; Sediyono, Eko; Setiawan, Adi
Prosiding KOMMIT 2014
Publisher : Prosiding KOMMIT

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Abstract

Rendahnya penyediaan informasi yang mendukung pengelolaan hasil pertanian di daerah Minahasa Tenggara akan berpengaruh pada distribusi hasil produksi. Distribusi yang tidak merata dapat menyebabkan stok produk di suatu daerah akan sangat berlebih, dan di daerah lain menjadi sangat kurang, hal ini akan memicu kurangnya keseimbangan harga produk yang beredar dipasaran. Melihat permasalahan yang ada maka perlu dirancang dan diterapkan sistem informasi yang akan memberikan solusi untuk mengumpulkan berbagai informasi hasil pangan daerah-daerah dan dikelola untuk mengetahui seberapa banyak hasil produksi yang harus dikonsumsi, dijual dan bisa didistribusikan ke daerah lain dari petani atau kelompok tani maupun perusahaan pertanian berbadan hukum. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan (Research and Development). Rancangan sistem dibuat dengan memperhatikan aspek-aspek kebutuhan fungsional dan non-fungsional. Pengujian rancangan menggunakan loop testing untuk menggambarkan pembentukan struktur program secara keseluruhan.
CLUSTER ANALYSIS MENGGUNAKAN ALGORITMA FUZZY C-MEANS DAN K-MEANS UNTUK KLASTERISASI DAN PEMETAAN LAHAN PERTANIAN DI MINAHASA TENGGARA Tamaela, Jemaictry; Sediyono, Eko; Setiawan, Adi
Jurnal Buana Informatika Vol 8, No 3 (2017): Jurnal Buana Informatika Volume 8 Nomor 3 Juli 2017
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.743 KB) | DOI: 10.24002/jbi.v8i3.1317

Abstract

Abstract. The purpose of this study is to perform cluster analysis and implementation by utilizing fuzzyc-means (FCM) and k-means (KM) to process agricultural data based on the data mining results. The fuzzy c-means (FCM) and k-means (KM) are implemented to find out and form the agricultural land clusters which appropriate the commodity types based on the supporting attributes that are used. The analysis and implementation results could provide some land information such as the number of the clusters, the land areas, the region areas, the locations and the productivity levels. The results of this study could be applied as the suggestion in converting the land functions and structuring the agricultural lands. The utilization of Openstreetmap is an open source solution which is implemented in the application. It could give visual information related to the agricultural land regions based on the clusters which make it easier to comprehend. Keywords: Cluster analysis, C-means, K-means, GIS, Data mining Abstrak. Penelitian ini bertujuan untuk melakukan analisis cluster dan implementasinya dengan menggunakan algoritma fuzzy c-means (FCM) dan k-means (KM) untuk mengelola data  pertanian dari hasil data mining yang dilakukan. Fuzzy c-means (FCM) dan k-means (KM) dimplementasikan untuk menemukan dan membentuk klaster-klaster daerah lahan pertanian sesuai dengan jenis komoditi berdasarkan atribut-atribut pendukung yang digunakan. Hasil analisis dan implementasi dapat menyediakan informasi lahan seperti jumlah kluster, luas lahan, luas daerah, letak dan tingkat produktifitas. Hasil yang diperoleh dapat menjadi bahan masukan dalam proses alih fungsi dan penataan lahan pertanian. Penggunaan Openstreetmap merupakan solusi open source yang diimplementasikan pada aplikasi dapat memberikan informasi  visual daerah-daerah lahan pertanian berdasarkan klaster yang dihasilkan sehingga lebih mudah untuk dipahami.Keywords: Cluster analysis, c-means, k-means, GIS, Data mining
SUBJECTIVE WELL-BEING AND HEALTHY BEHAVIOR OF ELDERLY WITH DEMENTIA ALZHEIMER’S (A PHENOMENOLOGICAL STUDY) Pariama, Aprillia Mauren; Ranimpi, Yulius Yusak; Setiawan, Adi
MNJ (Malang Neurology Journal) Vol. 6 No. 2 (2020): July
Publisher : PERDOSSI (Perhimpunan Dokter Spesialis Saraf Indonesia Cabang Malang) - Indonesian Neurological Association Branch of Malang cooperated with Neurology Residency Program, Faculty of Medicine Brawijaya University, Malang, Indonesia

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Abstract

Background: Dementia is a syndrome caused by decreased cognitive function due to aging, genetics, vascular disease and low physical and cognitive activities. Alzheimer's is the most common cause of dementia. Despite experiencing holistic changes in their lives, elderly with dementia Alzheimer's are entitled to well-being. Measurement of Subjective Well-being (SWB) is used to determine the well-being state of elderlies.Objective: The purpose of this study is to analyze the expression of Subjective well-being (SWB) and the healthy behavior of elderlies with dementia Alzheimer's.Methods: This study uses a qualitative phenomenological approach with a descriptive hermeneutics type. The data collection was done by in-depth interview techniques with the type of auto-anamnesis, observed, and family statements. The data analysis process was carried out in 3 stages (Verbatim, initial and focused coding, determination of categories were made in the form of themes). Data validity test used data triangulation techniques.Results: Participants in this study are 3 elderlies age 75 and 76 years who had mild dementia Alzheimer's. This condition affects participants ability in expressing their SWB and health behavior that are described in physical disorders, life satisfaction, satisfaction with important domains, positive influence, behavior change, treatment-seeking, and cognitive failure.Conclusion: Reported high subjective well-being is closely related to the low level of unpleasant emotions during their life journey. Healthy behavior is strongly influenced by knowledge, demographic factors, personal goals and values, social influence, and access to health services. Two participants managed to express SWB and healthy behaviors better than one participant.
MINDFULNESS DAN PENERIMAAN DIRI PADA REMAJA DI ERA DIGITAL Natalia Christy Waney; Wahyuni Kristinawati; Adi Setiawan
Insight: Jurnal Ilmiah Psikologi Vol 22, No 2: Agustus 2020
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/psikologi.v22i2.969

Abstract

Di era digital ini, remaja melakukan eksplorasi dan mengekspresikan diri di media sosial. Media sosial menyebabkan remaja rentan terlibat dalam cyberbullying . Hal ini membuat remaja malu dengan diri sendiri dan berusaha menampilkan citra ideal di media sosial sehingga kurang mampu menerima diri apa adanya. Studi ini merupakan studi literatur yang mencoba menelusuri bagaimana mindfulness dan penerimaan diri pada remaja di era digital. Mesin pencari (search engine) digunakan sebagai alat mencari data. Ditemukan 13 literatur dan penelitian dan digunakan sebagai sumber data. Penelitian ini menyimpulkan bahwa latihan mindfulness bisa dijadikan alternatif dalam meningkatkan penerimaan diri pada remaja, dan mindfulness dapat dipraktikkan dengan memanfaatkan aplikasi smartphone. Namun, belum ditemukan penelitian yang secara khusus membuktikan efektivitas penggunaan aplikasi mindfulness dalam meningkatkan penerimaan diri pada remaja di Indonesia.
Area calculation based on GADM geographic information system database Adi Setiawan; Eko Sediyono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14901

Abstract

This paper aims to provide an overview of the calculation of the area of Indonesia based on the boundaries of sub-district/village, district, regency/city. The circle approach method is proposed as a fast method for determining the land area of Indonesia. The total area of Indonesia can be obtained by adding up to 33 provinces or 502 regencies/cities or 6696 districts or 77474 sub-districts. Calculation of the area of the area using district boundaries is better used in the calculation of the area of Indonesia which is obtained 1,965,443.51 km2. The results obtained are 2.53% bigger than the reference area.
Penentuan luas wilayah kabupaten dan kota di provinsi sulawesi tengah menggunakan metode poligon dengan bantuan google earth Romauli Basaria; Adi Setiawan; Eko Sediyono
Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Vol 3, No 1 (2018)
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.797 KB) | DOI: 10.26486/jm.v3i1.606

Abstract

Penelitian ini membahas tentang perhitungan luas suatu wilayah dengan menggunakan metode poligon berdasarkan data yang diperoleh dari Google Earth. Wilayah yang akan diteliti adalah Provinsi Sulawesi Tengah yang beberapa kabupaten dan kota diantaranya ada yang berada di dua zona. Hasil yang diperoleh kemudian dibandingkan dengan luas yang menjadi acuan. Jika titik batas wilayah dari kabupaten yang ditentukan secara acak, Median Absolute Precentage Error (MdAPE) adalah 7%. Di sisi lain, titik batas wilayah dari kabupaten yang ditentukan berdasarkan arah mata angin, MdAPE akan menjadi 20,4%.
The Determination of Village Area in Semarang Regency Using The Circle Method Vikky Aprelia Windarni; Adi Setiawan
Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Vol 6, No 1 (2021)
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jm.v6i1.1876

Abstract

This research conducted a calculation of all villages area (253 villages) which located in Semarang regency. The data obtained is based on the data from GADM and Google earth by using the coordinate points (latitude and longitude). The research stage used were (1) finding the coordinate of villages boundaries in Semarang regency based on the data from GADM and Google Earth, (2) calculating the village area using two methods (Karney polygon method and circle method) and (3) analyzing the comparison of villages area based on each district and the reference area from Central Statistics Agency (BPS). The purpose of this research is the researchers would like to find out whether or not the Karney polygon method can be used to calculate the area of 253 villages in Semarang regency. From this research, it obtains the percentage difference with the lowest and highest percentage based on the data from GADM and Google Earth. The lowest percentage uses the Karney polygon method (GADM) of 7.63% and the highest percentage is 66.5%. The lowest percentage uses the circle method (GADM) is 14.39% and the highest percentage is 74.79%. The lowest percentage uses the Karney polygon method (Google Earth) is 7.63% and the highest percentage is 66%. The lowest percentage uses the circle method (Google Earth) is 15.87% and the highest percentage is 234%. MdAPE results for the data based on GADM using the Karney polygon method has the percentage of 18.73% and 35.19% by using the circle method. Based on Google Earth using the Karney polygon method, it has the percentage of 18.48% and 33.93% by using the circle method. It can be concluded that the Karney polygon method can be used to calculate the area of 253 villages in 19 districts in Semarang regency based on the data from GADM and Google Earth
Model Galat Spasial Untuk Jumlah Produksi Padi Tahun 2014 Di Jawa Barat Alicia Anggelia Lumbantoruan; Adi Setiawan; Bambang Susanto
Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Vol 3, No 2 (2019)
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jm.v3i2.753

Abstract

Indonesia merupakan salah satu negara produksi padi oleh karena itu luas lahan yang merupakan faktor utama yang sangat berpengaruh dalam produksi padi. Pad studi ini mengusulkan Model Galat Spasial dalam penerapan untuk jumlah produksi padi dan jumlah produksi padi tetangga. Model ini mengasumsikan bahwa kesalahan dalam model memiliki hubungan spasial antara satu daerah dan daerah lain. Data yang diolah adalah luas lahan produksi dan jumlah produksi padi di setiap kabupaten, di Jawa Barat pada tahun 2014. Matriks Pembobot juga digunakan, dalam menggambarkan kedekatan antar wilayah. Hasil yang diperoleh dari model spasial diketahui bahwa konstanta dan juga jumlah total produksi daerah tetangga tidak dipengaruhi berdasarkan hasil konstanta negatif dan juga hasil uji t, yang menyatakan bahwa jumlah produksi tetangga daerah tidak mempengaruhi jumlah produksi padi. Regresi sederhana tanpa konstanta adalah model terbaik untuk produksi tanaman padi yang hanya didasarkan pada area produksi.
PENGGUNAAN RESAMPLING DALAM PENGGAMBARAN QUICK COUNT ADI SETIAWAN
Jambura Journal of Probability and Statistics Vol 1, No 1 (2020): Jambura Journal of Probability and Statictics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v1i1.5643

Abstract

In this paper a descriptive statistical analysis of the results of the 2019 presidential election was presented related to the quick count result. Descriptive statistical analysis was also conducted on the results of the 2019 presidential election in Salatiga City (Central Java province), Solok City (West Sumatra province) and Rejang Lebong Regency (Bengkulu province). The resampling method is used to illustrate how the quick count method can be explained for finite populations in Salatiga City, Solok City and Rejang Lebong Regency. By using resampling, the percentage obtained by the Jokowi-Amin pair in Salatiga, Solok and Rejang Lebong are 78.05%, 87.86% and 56.85%, whereas the reality for the three cities in a row is 78.03%; 87,79% and 56.36%.
Co-Authors Absa, Munzir Adella Septiana Mugirahayu Agik Nur Efendi Agus Suryanto Aini Nurul Al-Humairi, Safaa Najah Saud Albet Maydiantoro Alchalil Alchalil Aldian Umbu Tamu Ama Aldian Umbu Tamu Ama Alfida Tegar Nurani Alicia Anggelia Lumbantoruan ALOYSIUS JOAKIM FERNANDEZ Ariani, Dwi Setya Ariska, Nenda Atina Rahmatalia Bambang Susanto Barlian Henryranu Prasetio Baskoro Arie Nugroho Bayu Wijayanto Beni Utomo Christiana Hari Soetjiningsih Christina Maya Indah Susilowati Cut Aja Rahmawati D. B. Nugroho, D. B. Dabet, Abubakar Daivi Wardani, Daivi Delsylia Tresnawaty Ufi Denny Indrajaya Denny Indrajaya Deswita, Yenny Dewi Anisa Istiqomah Dewi Lukitasari Dhevyantoa, Benny Didit Budi Nugroho Djoko Hartanto Dodi Wirawan Irawanto E. D. Saputri, E. D. Edita Rosana Widasari, Edita Rosana Effendy, Ahmad Hidayat Eko Sediyono Eko Widaryanto Elsa Septyana Endang Sulistyaningsih Faisal Faisal Faldy Tita Fika Widya Pratama Fiyas Mahananing Puri Haay, Happy Alyzhya Hamzah Hamzah Hanifa Maulani Ramadhan Hanna Arini Parhusip Hari Slamet Trianto Hari Slamet Trianto Hariyanto Hariyanto Hartiningsih, Tri Henderi . Henry Junus Wattimanela Ignatius Agus Supriyono Ilham Hizbuloh Irwan Sembiring Iwan Setiawan Iwan Setyawan Johanes Dian Kurniawan Joko Siswanto JT Lobby Loekmono Keo, Jitro Jemryes Krisdiana Krisdiana, Krisdiana Kurniawan, Johanes Dian Kurniawan, Titus Antonius David Legenda Prameswono Pratama Leipary, Harfely Leonardo Refialy Leonardo Refialy, Leonardo Leopoldus Ricky Sasongko Lilik Linawati Lindin Anderson Lukman Hakim Lutpiani, Anisa Lydia Soepriyani Fallo M. Iqbal Maharani, Siska Manfaluthy, Mauludi masipupu, Frangky Aristiadi Maufiquddin, Fiqih Ma’arif, Syahrul Meydelina, Gloria Mitha Febby R. Donggori Mitha Febby R. Donggori Modjo, Marchella Ellena Mohammad Ridwan Mufti, Rijalul Muhammad Sayuthi Nabiela, Noorsy Zidna Nadeak, Nathalia Ully Nafisah Riskya Hasna Natalia Christy Waney Ninda Lutfiani Nisa, Syarifah Rahimatun Novelia, Riana Novelyn, Ruth Nugraha, Anggit Ferdita Nukuhaly, Nur Apriani Nur Edy Suminarti Olivia Rumahpasal Pariama, Aprillia Mauren Pradani, Wynona Adita Priatna , Wowon Purbaratri, Winny Purwoko, Agus Putra, Trisno Wardy Qurotul Aini Rachayu, Laras Andriani Rachel Wulan Nirmalasari Wijaya Rahma Anugraheny Raunica, Elsha Afry Rayhan, Fathan Andhika Riana Dewi Risma Margaretha Sinaga Rizkina, Shafira Rizqon Hasibuan Romauli Basaria Rosa, Angela Griya Adinda Rozanna Dewi Rudhito, Andy Safitri, Dinda Saitama, Akbar Salomina Patty SARI, EMMA NOVITA Setiawan, Romi Adetio Setivani, Febi sitawati Soeharto Soeharto Sri Suwartiningsih Sulistio Sulistio Surya Tri Atmaja Ramadhani Suryadi Suryadi Suryasatriya Trihandaru Sutarto Wijono Syahputra, Azhar Syam, Azhari Muhammad Syukri Syukri Tamaela, Jemaictry Theo Sarita, Fetriks Theopillus J. H. Wellem Tri Wahyuningsih Tundjung Mahatma Untung Rahardja Untung Rahardja Vikky Aprelia Windarni Vikky Aprelia Windarni Vincentia Pawestri Wa Mirna Wahyuni Kristinawati Wattimanela, Henry Junus Wibowo, Mars Caroline Wilyanti, Sinka Windarni, Vikky Aprelia Wisnu Anendya Sekti Yanuar Zulardiansyah Arief Yenusi, Yuni naomi Yulius Yusak Ranimpi Zaki, Khozin