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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Pendidikan Indonesia Jurnal Ilmu Sosial dan Humaniora Resital: Jurnal Seni Pertunjukan (Journal of Performing Arts) JSI: Jurnal Sistem Informasi (E-Journal) ELEMENTARY SCHOOL JOURNAL PGSD FIP UNIMED Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika MIX : Jurnal Ilmiah Manajemen Manajemen Pendidikan Jurnal Manajemen & Supervisi Pendidikan JOIV : International Journal on Informatics Visualization Kelola: Jurnal Manajemen Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini TRIHAYU: Jurnal Pendidikan Ke-SD-an IJIE (Indonesian Journal of Informatics Education) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Satya Widya JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Administrasi dan Manajemen Pendidikan INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Basicedu Jurnal Ilmiah Pendidikan dan Pembelajaran Journal of Education Action Research Journal of Education Technology International Journal of Elementary Education Mimbar Ilmu Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JETL (Journal Of Education, Teaching and Learning) Aptisi Transactions on Technopreneurship (ATT) Magisma: Jurnal Ilmiah Ekonomi dan Bisnis jurnal teknik informatika dan sistem informasi Jurnal Mnemonic Jurnal Prakarsa Paedagogia Abdimasku : Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Indonesian Values and Character Education Journal Jurnal Teknologi Informasi dan Komunikasi Transformasi dan Inovasi : Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Dimensi DKV Seni Rupa dan Desain Jurnal Indonesia Sosial Sains Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Eduvest - Journal of Universal Studies Kelola: Jurnal Manajemen Pendidikan SmartComp Jurnal Informatika: Jurnal Pengembangan IT
Ade Iriani
Universitas Kristen Satya Wacana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Other

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Journal : Jurnal Informatika: Jurnal Pengembangan IT

 1 
Analisis Sentimen Perusahaan Listrik Negara Cabang Ambon Menggunakan Metode Support Vector Machine dan Naive Bayes Classifier Hennie Tuhuteru; Ade Iriani
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 3 (2018): JPIT, September 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i3.977

Abstract

Twitter is one of the most popular online networking service that accessed by the community / citizen. The account @ambonlima which has proven their credibility, take the opportunity to provide the information about the electricity in Ambon Island, Maluku. Power outage in Ambon is become the issue lately and the community conveyed via tweets addressed to @ambonlima accounts such as complaints, criticisms or supports. The opinion is textual data which can be extracted to know the sentiment of society to the performance of  PT. PLN Ambon. The purpose of this research is to to found out the sentimental level of the society about the electrical condition in Ambon by  using sentiment analysis method. There are two classification method used in this research, Naive Bayes Classifier (NBC) dan Support Vector Machine (SVM). In this case, the researcher will compare both method to understand which method have better accuracy. The NBC classification results using 2 fold in validation process showed a better accuracy than other fold value, which is 67.2%. Positive sentiment obtained 67%, neutral sentiment 19% and negative sentiment 14%. Meanwhile, the SVM classification method also showed a better accuracy using 2 fold. Positive sentiment derived 24%, neutral sentiment 29%, and negative sentiment 47%. This study shows the average level of accuracy of SVM classification method is better than the NBC method, which is 76.42%. The presence of negative sentiment that is not more than 50% indicates the influence of account @ambonlima which is able to afford the electrical problems to the public in real time.
Knowledge Capture Menggunakan Teknik Explore, Elaborate dan Execute Untuk Bagian Kesiswaan Sekolah Victor Peter Lodewyk Duan; Danny Manongga; Ade Iriani
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 3 (2018): JPIT, September 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i3.1002

Abstract

Students are late to school showed a lack of awareness about discipline. The teachers who handle the student late are created the tacit knowledge. This paper applied explore, elaborate and execute technique to capture the knowledge. The purpose is to documenting and stored it as a wealth of school knowledge by create a model in knowledge capture. The model of knowledge capture can be an indicator in capturing and documenting knowledge process so it will be good impact when handling the students late. The result showed the model of knowledge capture was created based on three step explore, elaborate and execute with the factors who cause students late. The use of technology have not technofull applicable in process to capturing knowledge except in documenting and storage process, allow to presence a utilization technology design in capturing knowledge on future research.
Co-Authors - Hendry Adi Kristianto Ana Maria Heni Anastasia Ela Aning Ervitasari Antar Maramba Jawa Anthony Anthony Antonius Mbay Ndapamuri Astriyer J. Nahumury Bambang Ismanto Bambang Suteng Sulasmono, Bambang Suteng Basuki Budiyatmo Brigitta Putri Atika Tyagita, Brigitta Putri Atika Budhi Kristianto Daniel Kurniawan Danny Manongga Dendy Kurniawan Destin Ricardo Lase Destin Ricardo Lase Dwi Hosanna Bangkalang Eko Nur Hermansyah Eko Sediyono Elfira Umar Elsy Senides Hana Taunu Elvis Fernando Tarantein Erfy Melany Lalupanda Eric Megah Perdana Erwianta Gustial Radjah Esther Yuli Ekawati Evangs Mailoa Florentina Tatrin Kurniati Franke Wijaya Getsi Novalin Takain Grace Kartika Ratih Hendry Hendry Heni Prasetyowati Hennie Tuhuteru Herdin Yohnes Madawara Hindriyanto Dwi Purnomo Irwan Sembiring Joko Listiawan Sukowati Kristoko Dwi Hartomo Kusumajaya, Robby Andika Laksamana Rajendra Haidar Latupeirissa, Ariyanto Lovely Ezverenzha Lelatobur Lyonly Tomasoa M Munifah Maria Cristiana Yuliyanti Djari Marinu Waruwu Marsye Ruth Hendria Pasanea Martza Merry Swastikasari Mawaroh Ken Wardani Merryana Lestari Muhamad Sidik Mutia Ayu Krismanda, Mutia Ayu Neilin Nikhlis Nina Setiyawati Ninda Lutfiani Noni Melisa Pebrioni Novem Uly Oktriany, Wara Hapsari Penidas Fodinggo Tanaem Qurotul Aini Rafly Ananda Dwi Septian Rahardja, Untung Rahmat Dhoni Wiryatmo Rimes Jopmorestho Malioy Ririn Hendrawati Rosalia Meita Widhiardanti Sasadara Wahyu Lukitasari Sasadara Wahyu Lukitasari, Sasadara Wahyu Setyo Budi Utomo Shendi Kharisma Widiastuti Sidik, Muhammad Sophia Tri Satyawati Sophia Tri Satyawati Sri Yulianto Steiven Orland Ngongira Stephen Aprius Sutresno, Stephen Aprius Suharyadi Susilawati Susilawati Sutarto Wijono Swastikasari, Martza Merry Theopillus J. H. Wellem Tommy Prasetyo, Dewantoro Tria Citra Listiani Mukti Triwiyanto, Wahyudi Valentino Kevin Sitanayah Que Victor Peter Lodewyk Duan Wasito Hadi Wasitohadi Wasitohadi Wasitohadi Wasitohadi Wasitohadi Wiwien Hadikurniawati Wulandari, Mega Retno Yari Dwikurnaningsih Yessica Nataliani Yulianto, Sri