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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer JSI: Jurnal Sistem Informasi (E-Journal) Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Desimal: Jurnal Matematika INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal on Emerging Mathematics Education Jurnal ULTIMA InfoSys MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Information Technology and Computer Engineering J-SAKTI (Jurnal Sains Komputer dan Informatika) Aptisi Transactions on Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Aptisi Transactions on Technopreneurship (ATT) EDUKATIF : JURNAL ILMU PENDIDIKAN Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ICIT (Innovative Creative and Information Technology) Journal Computer Science and Information Technologies Jurnal Bumigora Information Technology (BITe) Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) JOINTER : Journal of Informatics Engineering International Journal of Engineering, Science and Information Technology Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Information Technology (JIfoTech) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat JEECS (Journal of Electrical Engineering and Computer Sciences) Metris: Jurnal Sains dan Teknologi Scientific Journal of Informatics International Journal of Information Technology and Business INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal DIMASTIK
Hindriyanto Dwi Purnomo
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Sistem Peringatan Dini Rawan Bencana Longsor Di Kota Ambon menggunakan IoT Dasmasela, Chrisdano Ryan Chandra; Sembiring, Irwan; Purnomo, Hindriyanto Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp220-227

Abstract

Landslide disasters not only cause property losses but also have a multidimensional impact, for example people's psychology becomes disrupted, relocation of residential settlements and even disruption of investment as capital for economic development in Ambon City. This research aims to design a early warning system for landslide prone disastersin Ambon city and analysis using IoT.The results of the analysis use satellite landsat imagery as supporting spatial data with overlay indicators for landslide causes, including: rainfall, soil type, slope, population and land cover combined with placing IoT devices in landslide prone areas resulting in an early warning system for landslides. This IoT device uses a soil moisture sensor to read soil moisture and an MPU6050 accelerometer sensor to read soil movements. The results of the two sensors if they meet the criteria for landslide prone will be processed and sent as a notification to the smartphone. This research produces a landslide detection system starting from the analysis of landslide hazard maps to using sensors to detect landslide symptoms and then sending notification as a danger sign.
Sistem Peringatan Dini Rawan Bencana Longsor Di Kota Ambon menggunakan IoT Dasmasela, Chrisdano Ryan Chandra; Sembiring, Irwan; Purnomo, Hindriyanto Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp220-227

Abstract

Landslide disasters not only cause property losses but also have a multidimensional impact, for example people's psychology becomes disrupted, relocation of residential settlements and even disruption of investment as capital for economic development in Ambon City. This research aims to design a early warning system for landslide prone disastersin Ambon city and analysis using IoT.The results of the analysis use satellite landsat imagery as supporting spatial data with overlay indicators for landslide causes, including: rainfall, soil type, slope, population and land cover combined with placing IoT devices in landslide prone areas resulting in an early warning system for landslides. This IoT device uses a soil moisture sensor to read soil moisture and an MPU6050 accelerometer sensor to read soil movements. The results of the two sensors if they meet the criteria for landslide prone will be processed and sent as a notification to the smartphone. This research produces a landslide detection system starting from the analysis of landslide hazard maps to using sensors to detect landslide symptoms and then sending notification as a danger sign.
Sistem Peringatan Dini Rawan Bencana Longsor Di Kota Ambon menggunakan IoT Dasmasela, Chrisdano Ryan Chandra; Sembiring, Irwan; Purnomo, Hindriyanto Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp220-227

Abstract

Landslide disasters not only cause property losses but also have a multidimensional impact, for example people's psychology becomes disrupted, relocation of residential settlements and even disruption of investment as capital for economic development in Ambon City. This research aims to design a early warning system for landslide prone disastersin Ambon city and analysis using IoT.The results of the analysis use satellite landsat imagery as supporting spatial data with overlay indicators for landslide causes, including: rainfall, soil type, slope, population and land cover combined with placing IoT devices in landslide prone areas resulting in an early warning system for landslides. This IoT device uses a soil moisture sensor to read soil moisture and an MPU6050 accelerometer sensor to read soil movements. The results of the two sensors if they meet the criteria for landslide prone will be processed and sent as a notification to the smartphone. This research produces a landslide detection system starting from the analysis of landslide hazard maps to using sensors to detect landslide symptoms and then sending notification as a danger sign.
Penerapan Soft System Methodology dalam Ekstraksi Pengetahuan Tentang Akreditasi Universitas XYZ Karay, Jeni; Manongga, Danny; Purnomo, Hindriyanto Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp180-187

Abstract

As a university, accreditation is a benchmark and recognition of quality standards and definitions of an educational institution (higher education) by parties outside an independent institution. Accreditation is also interpreted as an effort by the government to standardize and guarantee the quality of higher education alumni in order to ensure that quality among universities is not too varied and according to work needs. Management of Higher Education needs to improve quality and be an input for stakeholders who continue to improve the university. Using Soft System Methodology, researchers map and conceptualize models and plans to help XYZ University develop its accreditation values. In this case the Faculty of Science and Technology at XYZ University. From this research it was found that the XYZ University's Faculty of Science and Technology can provide alternative funding and development from all parties and grants as well as cooperation in outside universities that will help this faculty to add facilities, improve the quality of supervisors by using technology at the University's Faculty of Science and Technology XYZ. Recommendations given by researchers are faculties can make a web-based DSS (Decision Support System) accessed by intranet to help download traces of faculty development and can be used as a basis for decision making.
Penerapan Soft System Methodology dalam Ekstraksi Pengetahuan Tentang Akreditasi Universitas XYZ Karay, Jeni; Manongga, Danny; Purnomo, Hindriyanto Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp180-187

Abstract

As a university, accreditation is a benchmark and recognition of quality standards and definitions of an educational institution (higher education) by parties outside an independent institution. Accreditation is also interpreted as an effort by the government to standardize and guarantee the quality of higher education alumni in order to ensure that quality among universities is not too varied and according to work needs. Management of Higher Education needs to improve quality and be an input for stakeholders who continue to improve the university. Using Soft System Methodology, researchers map and conceptualize models and plans to help XYZ University develop its accreditation values. In this case the Faculty of Science and Technology at XYZ University. From this research it was found that the XYZ University's Faculty of Science and Technology can provide alternative funding and development from all parties and grants as well as cooperation in outside universities that will help this faculty to add facilities, improve the quality of supervisors by using technology at the University's Faculty of Science and Technology XYZ. Recommendations given by researchers are faculties can make a web-based DSS (Decision Support System) accessed by intranet to help download traces of faculty development and can be used as a basis for decision making.
Penerapan Soft System Methodology dalam Ekstraksi Pengetahuan Tentang Akreditasi Universitas XYZ Karay, Jeni; Manongga, Danny; Purnomo, Hindriyanto Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp180-187

Abstract

As a university, accreditation is a benchmark and recognition of quality standards and definitions of an educational institution (higher education) by parties outside an independent institution. Accreditation is also interpreted as an effort by the government to standardize and guarantee the quality of higher education alumni in order to ensure that quality among universities is not too varied and according to work needs. Management of Higher Education needs to improve quality and be an input for stakeholders who continue to improve the university. Using Soft System Methodology, researchers map and conceptualize models and plans to help XYZ University develop its accreditation values. In this case the Faculty of Science and Technology at XYZ University. From this research it was found that the XYZ University's Faculty of Science and Technology can provide alternative funding and development from all parties and grants as well as cooperation in outside universities that will help this faculty to add facilities, improve the quality of supervisors by using technology at the University's Faculty of Science and Technology XYZ. Recommendations given by researchers are faculties can make a web-based DSS (Decision Support System) accessed by intranet to help download traces of faculty development and can be used as a basis for decision making.
Evaluasi Kebergunaan (Usability) dan Rekomendasi Penggunaan Google Classroom untuk Blended Learning di Perguruan Tinggi Agus Priyadi; Eko Sediyono; Hindriyanto Dwi Purnomo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 2 (2021): Volume 11 Nomor 2 Tahun 2021
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol11iss2pp105-116

Abstract

The google classroom application is a virtual classroom mixed with real classes in education where the distribution of material and lecture assignments can be done by teachers and students without using paper or paperless. Interaction between teachers and students is done interactively online. The use of the google classroom application as a teaching tool has only been implemented at XYZ college, so usability testing is needed in the use of google classroom. Testing the usability level of Google Classroom is really needed to evaluate and get recommendations about using the Google Classroom application. The method used in this study is the USE (Usefullness, Satisfaction and Ease of Use) Questionnaire and Cognitive Walkthrough (CW) used in the google classroom usability test. USE stands for Usefulness, Satisfaction, and Ease of Use. Ease of use factors can be divided into two, namely Ease of Learning and Ease of Use. The USE test involved all XYZ college students, totaling 213 respondents. Ten respondents within certain criteria were selected by purposive sampling technique to test the usefulness of using the cognitive walkthrough (CW) method. The overall assessment of the usefulness factor with a mean value of 3.95 is included in the "Good" rating range. Overall, the satisfaction factor value of 4.01 is included in the "Good" rating range. Overall, the assessment of the Ease of use indicator with a mean of 4.22 is included in the "Good" rating range. The cognitive walkthrough (CW) method produces several recommendations that can be utilized by XYZ universities in implementing blended learning using google classroom. The usability factor with various features offered by Google Classroom is quite high because it can provide convenience in its use to support lecture activities at XYZ College
Analisis Sentimen Komentar Konsumen Industri Jamu di Media Sosial menggunakan Artificial Neural Network dan K-Nearest Neighbor Kurniawan, Daniel; Purnomo, Hindriyanto Dwi; Iriani, Ade
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp210-223

Abstract

Phytopharmaceutical plants have become one of the main commodities contributing significantly to the economy through their use in the pharmaceutical, cosmetic, and health industries. However, behind this economic potential, traditional herbal medicine businesses often face challenges, particularly in promotion and brand identity. Social media platforms like Instagram have now introduced unique features to support business and marketing, primarily by providing in-depth information about herbal products and offering opportunities for businesses to receive feedback from consumers. Comments on social media are valuable but often unstructured; hence, sentiment analysis is necessary to organize and categorize this data. By combining comment data with information from Google Trends, cause-and-effect relationships from comments during specific periods can be identified using path analysis. This research aims to analyze consumer comments on the Sidomuncul company's Instagram platform, with the hope of benefiting the company and advancing herbal medicine products. The methods used in this study include Artificial Neural Network (ANN) and K-nearest neighbor (KNN) to classify comments into positive, negative, and neutral categories. Both methods show satisfactory results in classification, with an average accuracy of 0.887 for ANN and 0.874 for KNN. However, the ROC curve for the KNN model indicates a relatively low AUC value in classifying negative comments, at 0.598.
Co-Authors 12.5202.0161 Daniel Yeri Kristiyanto Ade Iriani Adimas Tristan Nagara Hartono Adriyanto Juliastomo Gundo Agung Wibowo Agus Priyadi Ahmad Bayu Yadila Andre Kurniawan Andrew Aquila Chrisanto Pabendon Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Ani, Nyree Anton Hermawan Anwar, Muchamad Taufiq April Firman Daru April Lia Hananto Aris Puji Widodo Arseta, Gama Astawa, I Wayan Aswin Dew Atik Setyanti, Angela Aziz Jihadian Barid Azzahra Nurwanda Bandung Pernama Baun, Sindy Cristine Budhi Kristianto Budi Kristianto Budi Kristianto, Budi C. Leuwol, Sylvie Cahyaningtyas, Christyan Cahyo Dimas K Cesna, Galih Putra Chakim, Heru Riza Chandra Halim Charitas Fibriani Christyan Cahyaningtyas Daniel Kurniawan Daniel Kurniawan Danny Manongga Danu Satria Wiratama Deden Rustiana Dedy Prasetya Kristiadi Didit Budi Nugroho Dody Agung Saputro Dwi Hosanna Bangkalang Edwin Zusrony Eko Sediyono Eliansion Ivan eremia Silvester Sutoyo Erwien Christianto Evang Mailoa Evangs Mailoa Fajar Rahmat Faudisyah, Alfendio Alif Fauzi Ahmad Muda Feibe Lawalata Florentina Tatrin Kurniati Giner Maslebu Gladis Tri Enggiel Griya Jitri Pabutungan Gudiato, Candra Hanita Yulia Hanna Arini Parhusip Hari Purwanto Hendra Kusumah Hendra Waskita Hendradito Dwi Aprillian Hendro Steven Tampake Hendry Heni Pujiastuti Hermanto Abraham, Rendy Hery Santono HR. Wibi Bagas N Hsin Rau Huda, Baenil Hui-Ming Wee Irdha Yunianto Irwan Sembiring Istiarsi Saptuti Sri Kawuryan Istiarsih Saputri Sri Kawuryan Iwan Setiawan Iwan Setyawan Janinda Puspita Anidya Jihot Lumban Gaol Joanito Agili Lopo Jonas, Dendy Kainama, Marchel Devid Karema Sarajar, Dewita Kho, Delvian Christoper Krismiyati Kristoko Dwi Hartomo Lea Klarisa Lumban Gaol, Jihot Markus Permadi Mau, Stevanus Dwi Istiavan Maya Sari Mellyuga Errol Wicaksono Merryana Lestari Mira Mira Mira Muhammad Aufal Muhammad Rizky Pribadi Nadya Octavianna Lompoliuw Nahak, Yosef Jeffri Silvanus Nahusona, Ferry Nanle, Zeze Nina Rahayu Nina Setiyawati Ninda Lutfiani Nurrokhman, Nurrokhman Nurtino, Tio Permadi, Markus Picauly, Irma Amy Pratyaksa Ocsa Nugraha Saian Priatna , Wowon Purnama Harahap, Eka Purwanto - Purwanto Putri, Violita Eka Radius Tanone Ramos Somya Raynaldo Raynaldo Raynaldo Raynaldo, Raynaldo Richard William Kho Riko Yudistira Robert William Ruhulessin Rufina Rahma Ajeng Setyaningsih Safitri, Adila Sakalessy, Afelia Jozalin Elisa Sampoerno Santoso, Fian Julio Santoso, Fian Yulio Santoso, Joseph Teguh Sauntos, Oliver Setiyaji, Akhfan Sri Kawuryan, Istiarsi Saptuti Sri Sri Yulianto Joko Prasetyo Sugiman, Marcelino Maxwell Sutarto Wijono Syamsul Arifin Tad Gonsalves Tad Gonsalves Teguh Indra Bayu Teguh Wahyono Theopillus J. H. Wellem Tirsa Ninia Lina Tri Wahyuningsih Trivena Andriani Tukino, Tukino Tumbade, Marcho Oknivan Tungady, Cornelius Arvel Pratama Untung Rahardja Utama, Deffa Ferdian Alif Valentino Kevin Sitanayah Que Wahid, Syahrul Mu’Arif Walangara Nau, Novriest Umbu Wibowo, Mars Caroline Widyarini, Liza Wilujeng Ayu Nawang Sari Winny purbaratri Wisnu Wibisono, Indra Wiwien Hadikurniawati Yerik Afrianto Singgalen Yessica Nataliani Yos Richard Beeh Yos Richard Beeh Yos Richard Beeh Yudistira, Riko Yuli Agung Suprabowo, Gunawan Yusuf, Natasya Aprila Zakaria, Noor Azura