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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
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Journal : Jurnal Transformatika

 1 
ANALISA PREDIKSI MAHASISWA DROP OUT MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA ID3 dan C4.5 Laksamana Rajendra Haidar; Eko Sediyono; Ade Iriani
Jurnal Transformatika Vol 17, No 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1609

Abstract

The case of drop out at the Weleri STEKOM is often done by the campus. Drop out is a problem that is often done by Weleri STEKOM students because of a GPA of less than 2, Number of organizations followed, Tuition not paid for students and student who have exceeded the limit of 14 semesters. This study discusses predicting drop out students with C4.5 and ID3 decision tree methods that are useful to assist the campus in anticipating student dropouts. This study uses student data as many as 1087 students. Student data is divided into training data and testing data in order to obtain a model or rule in predicting DO students. Variable of this reseach contain V1(GPA) and then V2 (Distance beetween home and campus), V3(how long the lecture has been done), V4(Having a Job), V5(Family) and V6(school fee). This  research  The results of this study obtained 18 rules or rules for ID3 algorithm and 8 rules for C4.5 algorithm. The algorithm ID3 test results obtained an average of 95.17%, precision of 94.7% and recall of 96.18%, while for Decision Tree C 4.5 obtained an average of 96.45%, precision of 96.90% and recall of 95.38. This research prove that Decision using C4.5 is better for prediction of drop out students at STEKOM.
PEMANFAATAN SOCIAL NETWORK ANALYSIS (SNA) UNTUK MENGANALISIS KOLABORASI KARYAWAN PADA PT. ARUM MANDIRI GROUP Dendy Kurniawan; Ade Iriani; Danny Manongga
Jurnal Transformatika Vol 17, No 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1646

Abstract

Pertumbuhan industri di Kendal Jawa Tengah membuat PT. Arum Mandiri Group mencoba meningkatkan unit bisnisnya dengan mengoptimalkan SDM nya. Peningkatan SDM perusahaan salah satunya dengan kolaborasi komunikasi antara karyawan dan pimpinan. Penelitian ini mencoba untuk mengidentifikasi kolaborasi jaringan komunikasi karyawan dalam perusahaan dengan menggunakan metode Social Network Analysis (SNA). Berdasarkan analisa diperoleh hasil tingkat density sebesar 14,9% yang dianggap memiliki ikatan lemah karena dibawah 50%. Individu nomor 31 memiliki degree centrality tertinggi dengan nilai outdegree 15 dan indegree 10, sedangkan individu nomor 25 yang memiliki closeness centrality tertinggi dengan nilai inCloseness 50.602 dan nilai outCloseness 27,815. Individu nomor 25 juga memiliki betweenness centrality tertinggi dengan nilai Betweenness 743.194dan nBetweenness 43.159. Dapat disimpulkan dalam penelitian ini terdapat kolaborasi dalam jaringan sosial dari masing-masing individu yang terbagi dalam tiga divisi kerja dan tergambarkan dalam bentuk sociogram. Industrial growth in Kendal, Central Java made PT. Arum Mandiri Group is trying to improve its business units by optimizing its human resources. One of the improvements in corporate HR is through collaborative communication between employees and leaders. This study tries to identify employee communication network collaboration within a company by using the Social Network Analysis (SNA) method. The result of this research are density level of 14.9% which is considered to have a weak bond because under 50%. Individual number 31 has the highest of degree centrality with an outdegree value of 15 and indegree of 10, while individual number 25 has the highest closeness centrality with value inCloseness 50.602 and outCloseness value 27.815. Individual number 25 also has the highest centrality betweenness with a value of Betweenness 743,194 and nBetweenness 43,159. It can be concluded in this study there is collaboration in the social network of each individual which is divided into three work divisions and described in the form of a sociogram.
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